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vision, data mining, project demo, and also manage the project as it is near the completion. Key Responsibilities: Development of methods and algorithms for vision-based / RFID sensor fusion for target
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research experience or a proven track record in these areas is advantageous. Proficient in data analysis and data mining, with the ability to extract and interpret complex data sets to improve recommendation
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to Artificial Intelligence and Machine Learning applied to Air Traffic Control and Air Traffic Management. Develop algorithms and models (Deep Learning/Deep Reinforcement Learning), perform data mining, data
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discipline, with a focus on Cyber Security, Machine Learning and/or Data Mining Experiences in edge networks and communication systems Good programming skills in e.g., Python, Matlab, C++, etc Good
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, etc.), text analytics/mining and machine learning (anomaly detection, gradient boosted decision tree, etc.). • Experience in building and optimizing data pipelines, working with different data
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data mining, data analytics for advanced Air Traffic Management concepts. Support Principal Investigator/Team Lead with project management activities and preparation of progress reports. Develop
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Machine Learning applied to Air Traffic Control and Air Traffic Management. Develop algorithms and models (Deep Learning/Deep Reinforcement Learning), perform data mining, doing analytics for future for Air
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Science, or Mathematics. Over 7 years of professional experience in data analytics and data governance. Demonstrated technical proficiency in data models, database design and development, data mining, and machine learning
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-process simulated provenance data Perform literature review and background study on graph analytics for intrusion detection Apply Data Mining & Machine Learning techniques for graph-based intrusion
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unnatural amino acids, directed or continuous evolution, computational design and deep learning, genetic or biochemical screens, genome mining, and synthetic biology. Emoluments The commencing salary will